hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 8.95B · unknown
Aug 25, 2026 · Apple M1 Pro
mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
87 vs 77
Hardware Fit
95 vs 100
Quality Score
83 vs 67
Hardware
hf.co/ornith-ai/Or… mlx-community/meta…
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/ornith-ai/Or… mlx-community/meta…
Tokens/sec22.254.3
First chunk334 ms277 ms
TTFT334 ms277 ms
Load time3.3 sN/A
Memory usage6.9 GB4.2 GB
Memory %43%7%
HW Fit Score Breakdown
hf.co/ornith-ai/Ornith-…
Speed
48/50
TTFT
20/20
Memory
27/30
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
hf.co/ornith-ai/Ornith-…
Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest